Enabling Git based research data quality control for institutional repositories

Ayer V, Pietsch C, Vompras J, Schirrwagen J, Wiljes C, Peil V, Cimiano P (2017)
Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona.

Download
OA 717.81 KB
Konferenzbeitrag | Englisch
Volltext vorhanden für diesen Nachweis
Abstract / Bemerkung
Reproducibility of scientific research data has been error-prone for contextually sensitive studies like Psychology with pharmaceutical clinical trials having lower success rates. However, “analytical reproducibility” of a statistical analysis is mathematically achievable when the research data artifacts are public. The DFG-funded Conquaire project at Bielefeld University is developing a generic architecture based on GitLab to support computational reproducibility of research data. One aspect of the project is to examine and develop solutions to track released versions of research data and corresponding source code in institutional repositories for proper persistent identification, dissemination and visibility of computational research artefacts. In this respect, the presentation will focus on usage scenarios with Conquaire pilot partners which inform the functional requirements on deposition, ingestion and publication workflows of the institutional repository platform LibreCat.
Erscheinungsjahr
Konferenz
Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting
Konferenzort
Barcelona
Konferenzdatum
2017-04-07 – 2017-04-07
PUB-ID

Zitieren

Ayer V, Pietsch C, Vompras J, et al. Enabling Git based research data quality control for institutional repositories. Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona.
Ayer, V., Pietsch, C., Vompras, J., Schirrwagen, J., Wiljes, C., Peil, V., & Cimiano, P. (2017). Enabling Git based research data quality control for institutional repositories. Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona.
Ayer, V., Pietsch, C., Vompras, J., Schirrwagen, J., Wiljes, C., Peil, V., and Cimiano, P. (2017).“Enabling Git based research data quality control for institutional repositories”. Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona.
Ayer, V., et al., 2017. Enabling Git based research data quality control for institutional repositories. Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona.
V. Ayer, et al., “Enabling Git based research data quality control for institutional repositories”, Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona, 2017.
Ayer, V., Pietsch, C., Vompras, J., Schirrwagen, J., Wiljes, C., Peil, V., Cimiano, P.: Enabling Git based research data quality control for institutional repositories. Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona (2017).
Ayer, Vidya, Pietsch, Christian, Vompras, Johanna, Schirrwagen, Jochen, Wiljes, Cord, Peil, Vitali, and Cimiano, Philipp. “Enabling Git based research data quality control for institutional repositories”. Presented at the Research Data Alliance (RDA), Repository Platforms for Research Data IG, 9th Plenary meeting, Barcelona, 2017.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Volltext(e)
Access Level
OA Open Access
Zuletzt Hochgeladen
2018-01-02T15:46:03Z

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Suchen in

Google Scholar